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Viewing Publication 1 - 64 from 64

2011

Learning with Semantic Kernels for Clausal Knowledge BasesNicola Fanizzi, Claudia d Amato. ismis 2011: 250-259 [doi]

Prediction of class and property assertions on OWL ontologies through evidence combinationGiuseppe Rizzo, Nicola Fanizzi, Claudia d Amato, Floriana Esposito. wims 2011: 45 [doi]

2010

Inductive learning for the Semantic Web: What does it buy?Claudia d Amato, Nicola Fanizzi, Floriana Esposito. semweb, 1(1-2):53-59, 2010. [doi]

Efficient Resource Retrieval from Semantic Knowledge BasesClaudia d Amato, Steffen Staab, Nicola Fanizzi, Floriana Esposito. semco 2010: 244-251 [doi]

Dl-Link: a Conceptual Clustering Algorithm for Indexing Description Logics Knowledge BasesClaudia d Amato, Steffen Staab, Nicola Fanizzi, Floriana Esposito. ijsc, 4(4):453-486, 2010. [doi]

Inductive reasoning and semantic web searchClaudia d Amato, Floriana Esposito, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz. SAC 2010: 1446-1447 [doi]

Combining Semantic Web Search with the Power of Inductive ReasoningClaudia d Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz. sum 2010: 137-150 [doi]

Categorize by: Deductive Aggregation of Semantic Web Query ResultsClaudia d Amato, Nicola Fanizzi, Agnieszka Lawrynowicz. esws 2010: 91-105 [doi]

Recovering uncertain mappings through structural validation and aggregation with the MoTo systemFloriana Esposito, Nicola Fanizzi, Claudia d Amato. SAC 2010: 1428-1432 [doi]

Fuzzy Clustering for Semantic Knowledge BasesFloriana Esposito, Claudia d Amato, Nicola Fanizzi. FUIN, 99(2):187-205, 2010. [doi]

Towards the induction of terminological decision treesNicola Fanizzi, Claudia d Amato, Floriana Esposito. SAC 2010: 1423-1427 [doi]

Learning to Rank Individuals in Description Logics Using Kernel PerceptronsNicola Fanizzi, Claudia d Amato, Floriana Esposito. rr 2010: 173-181 [doi]

Towards Learning to Rank in Description LogicsNicola Fanizzi, Claudia d Amato, Floriana Esposito. ecai 2010: 985-986 [doi]

Induction of Concepts in Web Ontologies through Terminological Decision TreesNicola Fanizzi, Claudia d Amato, Floriana Esposito. pkdd 2010: 442-457 [doi]

A Refinement Operator Based Method for Semantic Grouping of Conjunctive Query ResultsAgnieszka Lawrynowicz, Claudia d Amato, Nicola Fanizzi. kes 2010: 359-368 [doi]

2009

Combining Semantic Web Search with the Power of Inductive ReasoningClaudia d Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz. semweb 2009: 15-26 [doi]

Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local ModelsClaudia d Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz. webi 2009: 689-692 [doi]

Inductive Query Answering and Concept Retrieval Exploiting Local ModelsClaudia d Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz. isda 2009: 1209-1214 [doi]

Evidential Nearest-Neighbors Classification for Inductive ABox ReasoningNicola Fanizzi, Claudia d Amato, Floriana Esposito. semweb 2009: 27-38 [doi]

Fuzzy Clustering for Categorical SpacesNicola Fanizzi, Claudia d Amato, Floriana Esposito. ismis 2009: 161-170 [doi]

ReduCE: A Reduced Coulomb Energy Network Method for Approximate ClassificationNicola Fanizzi, Claudia d Amato, Floriana Esposito. esws 2009: 323-337 [doi]

Metric-based stochastic conceptual clustering for ontologiesNicola Fanizzi, Claudia d Amato, Floriana Esposito. is, 34(8):792-806, 2009. [doi]

Inductive Classification of Semantically Annotated Resources through Reduced Coulomb Energy NetworksNicola Fanizzi, Claudia d Amato, Floriana Esposito. ijswis, 5(4):19-38, 2009. [doi]

2008

Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge BasesClaudia d Amato, Nicola Fanizzi, Floriana Esposito. semco 2008: 291-298 [doi]

Query Answering and Ontology Population: An Inductive ApproachClaudia d Amato, Nicola Fanizzi, Floriana Esposito. esws 2008: 288-302 [doi]

A Note on the Evaluation of Inductive Concept Classification ProceduresClaudia d Amato, Nicola Fanizzi, Floriana Esposito. swap 2008: [doi]

Distance-Based Classification in OWL OntologiesClaudia d Amato, Nicola Fanizzi, Floriana Esposito. kes 2008: 656-661 [doi]

Analogical Reasoning in Description LogicsClaudia d Amato, Nicola Fanizzi, Floriana Esposito. semweb 2008: 330-347 [doi]

Classification and Retrieval through Semantic KernelsClaudia d Amato, Nicola Fanizzi, Floriana Esposito. kes 2008: 252-259 [doi]

On the Influence of Description Logics Ontologies on Conceptual SimilarityClaudia d Amato, Steffen Staab, Nicola Fanizzi. ekaw 2008: 48-63 [doi]

Tractable Reasoning with Bayesian Description LogicsClaudia d Amato, Nicola Fanizzi, Thomas Lukasiewicz. lipari 2008: 146-159 [doi]

Approximate Measures of Semantic Dissimilarity under UncertaintyNicola Fanizzi, Claudia d Amato, Floriana Esposito. semweb 2008: 348-365 [doi]

Conceptual Clustering and Its Application to Concept Drift and Novelty DetectionNicola Fanizzi, Claudia d Amato, Floriana Esposito. esws 2008: 318-332 [doi]

A Multi-relational Hierarchical Clustering Method for DatalogKnowledge BasesNicola Fanizzi, Claudia d Amato, Floriana Esposito. ismis 2008: 137-142 [doi]

Learning with Kernels in Description LogicsNicola Fanizzi, Claudia d Amato, Floriana Esposito. ilp 2008: 210-225 [doi]

DL-FOIL Concept Learning in Description LogicsNicola Fanizzi, Claudia d Amato, Floriana Esposito. ilp 2008: 107-121 [doi]

Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in OntologiesNicola Fanizzi, Claudia d Amato, Floriana Esposito. DEXA 2008: 808-821 [doi]

Statistical Learning for Inductive Query Answering on OWL OntologiesNicola Fanizzi, Claudia d Amato, Floriana Esposito. semweb 2008: 195-212 [doi]

Induction of Classifiers through Non-Parametric Methods for Approximate Classification and Retrieval with OntologiesNicola Fanizzi, Claudia d Amato, Floriana Esposito. ijsc, 2(3):403-423, 2008. [doi]

Evolutionary Conceptual Clustering Based on Induced Pseudo-MetricsNicola Fanizzi, Claudia d Amato, Floriana Esposito. ijswis, 4(3):44-67, 2008. [doi]

Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility RelationsNicola Fanizzi, Claudia d Amato, Floriana Esposito, Thomas Lukasiewicz. semweb 2008: [doi]

2007

Constraint Hardness for Modelling, Matching and Ranking Semantic Web ServicesClaudia d Amato. sebd 2007: 373-380

Induction of Optimal Semantic Semi-distances for Clausal Knowledge BasesClaudia d Amato, Nicola Fanizzi, Floriana Esposito. ilp 2008: 29-38 [doi]

Efficient Discovery of Services Specified in Description Logics LanguagesClaudia d Amato, Steffen Staab, Nicola Fanizzi, Floriana Esposito. semweb 2007: [doi]

Conceptual Clustering Applied to OntologiesFloriana Esposito, Nicola Fanizzi, Claudia d Amato. ecml 2008: 42-56 [doi]

Induction of Optimal Semi-distances for Individuals based on Feature SetsNicola Fanizzi, Claudia d Amato, Floriana Esposito. dlog 2007: [doi]

Approximate Query Answering and Ranking for Semantic Knowledge BasesNicola Fanizzi, Claudia d Amato, Floriana Esposito. sebd 2007: 124-135

Randomized metric induction and evolutionary conceptual clustering for semantic knowledge basesNicola Fanizzi, Claudia d Amato, Floriana Esposito. CIKM 2007: 51-60 [doi]

Approximate Measures of Semantic Dissimilarity under UncertaintyNicola Fanizzi, Claudia d Amato, Floriana Esposito. semweb 2008: [doi]

A Hierarchical Clustering Procedure for Semantically Annotated ResourcesNicola Fanizzi, Claudia d Amato, Floriana Esposito. aiia 2007: 266-277 [doi]

Semantic Nearest Neighbor Search in OWL OntologiesNicola Fanizzi, Claudia d Amato, Floriana Esposito. swap 2008: [doi]

Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel MethodsNicola Fanizzi, Claudia d Amato. kes 2007: 148-155 [doi]

Evolutionary Conceptual Clustering of Semantically Annotated ResourcesNicola Fanizzi, Claudia d Amato, Floriana Esposito. semco 2007: 783-790 [doi]

Instance-based retrieval by analogyNicola Fanizzi, Claudia d Amato, Floriana Esposito. SAC 2007: 1398-1402 [doi]

A Hierarchical Clustering Method for Semantic Knowledge BasesNicola Fanizzi, Claudia d Amato. kes 2007: 653-660 [doi]

Instance-Based Query Answering with Semantic Knowledge BasesNicola Fanizzi, Claudia d Amato, Floriana Esposito. aiia 2007: 254-265 [doi]

2006

Classification of symbolic objects: A lazy learning approachAnnalisa Appice, Claudia d Amato, Floriana Esposito, Donato Malerba. ida, 10(4):301-324, 2006. [doi]

Lazy Learning from Terminological Knowledge BasesClaudia d Amato, Nicola Fanizzi. ismis 2006: 570-579 [doi]

Reasoning by Analogy in Description Logics Through Instance-based LearningClaudia d Amato, Nicola Fanizzi, Floriana Esposito. swap 2006: [doi]

Analogical Reasoning in Description LogicsClaudia d Amato, Nicola Fanizzi, Floriana Esposito. semweb 2006: [doi]

A dissimilarity measure for ALC concept descriptionsClaudia d Amato, Nicola Fanizzi, Floriana Esposito. SAC 2006: 1695-1699 [doi]

Modeling, Matching and Ranking Services Based on Constraint HardnessClaudia d Amato, Steffen Staab. BPM 2006: 471-482 [doi]

A Declarative Kernel for ::::ALC:::: Concept DescriptionsNicola Fanizzi, Claudia d Amato. ismis 2006: 322-331 [doi]

2005

A Dissimilarity Measure for the ALC Description LogicClaudia d Amato, Nicola Fanizzi, Floriana Esposito. swap 2005: [doi]

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